Correlation Between PJ Metal and Cosmax Nbt
Can any of the company-specific risk be diversified away by investing in both PJ Metal and Cosmax Nbt at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining PJ Metal and Cosmax Nbt into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PJ Metal Co and Cosmax Nbt, you can compare the effects of market volatilities on PJ Metal and Cosmax Nbt and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in PJ Metal with a short position of Cosmax Nbt. Check out your portfolio center. Please also check ongoing floating volatility patterns of PJ Metal and Cosmax Nbt.
Diversification Opportunities for PJ Metal and Cosmax Nbt
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between 128660 and Cosmax is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding PJ Metal Co and Cosmax Nbt in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cosmax Nbt and PJ Metal is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on PJ Metal Co are associated (or correlated) with Cosmax Nbt. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cosmax Nbt has no effect on the direction of PJ Metal i.e., PJ Metal and Cosmax Nbt go up and down completely randomly.
Pair Corralation between PJ Metal and Cosmax Nbt
Assuming the 90 days trading horizon PJ Metal Co is expected to generate 1.09 times more return on investment than Cosmax Nbt. However, PJ Metal is 1.09 times more volatile than Cosmax Nbt. It trades about 0.01 of its potential returns per unit of risk. Cosmax Nbt is currently generating about -0.01 per unit of risk. If you would invest 317,319 in PJ Metal Co on August 30, 2024 and sell it today you would lose (11,319) from holding PJ Metal Co or give up 3.57% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
PJ Metal Co vs. Cosmax Nbt
Performance |
| Timeline |
| PJ Metal |
| Cosmax Nbt |
PJ Metal and Cosmax Nbt Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with PJ Metal and Cosmax Nbt
The main advantage of trading using opposite PJ Metal and Cosmax Nbt positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PJ Metal position performs unexpectedly, Cosmax Nbt can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Cosmax Nbt will offset losses from the drop in Cosmax Nbt's long position.The idea behind PJ Metal Co and Cosmax Nbt pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Cosmax Nbt vs. Samsung Electronics Co | Cosmax Nbt vs. Samsung Electronics Co | Cosmax Nbt vs. Hyundai Motor Co | Cosmax Nbt vs. Hyundai Motor |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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